float smearTerm; NGramProbability bgProb = bigram.getNGramProbability(j); float logbgbackoff = ngramBackoffTable[2][bgProb.getBackoffID()]; double bgbackoff = logMath.logToLinear(logbgbackoff); int k = bigram.getWordID(j);
private Float getNGramProbability(WordSequence wordSequence) { int numberWords = wordSequence.size(); Word firstWord = wordSequence.getWord(0); if (loader.getNumberNGrams(numberWords) == 0 || !hasUnigram(firstWord)) return getNGramProbability(wordSequence.getNewest()); if (numberWords < 2) { return getUnigramProbability(wordSequence); } NGramProbability nGProbability = findNGram(wordSequence); if (nGProbability != null) { return ngramProbTable[numberWords - 1][nGProbability .getProbabilityID()]; } if (numberWords == 2) { UnigramProbability unigramProb = getUnigram(firstWord); UnigramProbability unigramProb1 = getUnigram(wordSequence .getWord(1)); return unigramProb.getLogBackoff() + unigramProb1.getLogProbability(); } NGramProbability nMinus1Gram = findNGram(wordSequence.getOldest()); if (nMinus1Gram != null) { return ngramBackoffTable[numberWords - 1][nMinus1Gram .getBackoffID()] + getProbability(wordSequence.getNewest()); } return getProbability(wordSequence.getNewest()); }
float smearTerm; NGramProbability bgProb = bigram.getNGramProbability(j); float logbgbackoff = ngramBackoffTable[2][bgProb.getBackoffID()]; double bgbackoff = logMath.logToLinear(logbgbackoff); int k = bigram.getWordID(j);
private Float getNGramProbability(WordSequence wordSequence) { int numberWords = wordSequence.size(); Word firstWord = wordSequence.getWord(0); if (loader.getNumberNGrams(numberWords) == 0 || !hasUnigram(firstWord)) return getNGramProbability(wordSequence.getNewest()); if (numberWords < 2) { return getUnigramProbability(wordSequence); } NGramProbability nGProbability = findNGram(wordSequence); if (nGProbability != null) { return ngramProbTable[numberWords - 1][nGProbability .getProbabilityID()]; } if (numberWords == 2) { UnigramProbability unigramProb = getUnigram(firstWord); UnigramProbability unigramProb1 = getUnigram(wordSequence .getWord(1)); return unigramProb.getLogBackoff() + unigramProb1.getLogProbability(); } NGramProbability nMinus1Gram = findNGram(wordSequence.getOldest()); if (nMinus1Gram != null) { return ngramBackoffTable[numberWords - 1][nMinus1Gram .getBackoffID()] + getProbability(wordSequence.getNewest()); } return getProbability(wordSequence.getNewest()); }